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Antigonish Floodrisk and Erosion Climate Change Project

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Antigonish Floodrisk and Erosion Climate Change Project Antigonish Floodrisk and Erosion Climate Change Project The study commissioned by the Nova Scotia Department of Regional Economic Development and the Nova Scotia Department of the Environment By Dr. Tim Webster, Katie LeBlanc and Nathan Crowell Applied Geomatics Research Group, Centre of Geographic Science Nova Scotia Community College Middleton, NS B0S 1M0 & Acadia University, Wolfville, NS 1 Executive Summary The Canadian coastlines have been assessed for sensitivity to future sea-level change and it has been determined that the east coast of Canada is highly vulnerable to erosion and flooding. The third assessment of the Intergovernmental Panel on Climate Change (IPCC) indicates that there will be an increase in mean global sea-level from 1990 to 2100 between 0.09 m and 0.88 m (Church et al. 2001). The latest IPCC Assessment Report 4 (AR4) has projected global mean seal-level to rise between 0.18 and 0.59 m from 1990 to 2095 (Meehl et al. 2007). However as Forbes et al. (2009) point out, these projections do not account for the large ice sheets melting and measurements of actual global sea-level rise are higher than the previous predictions of the third assessment report. Rhamstorf et al. (2007) compared observed global sea-level rise to that projected in the third assessment report and found it exceeded the projections and have suggested a rise between 0.5 and 1.4 m from 1990 to 2100. Thus, Forbes et al. (2009) use the upper limit of 1.3 m as a precautionary approach to sea-level rise projections in the Halifax region. The selection of an upper limit of flooding is dependent on realistic projections of sea- level rise, thus because of the variations in projections we have generated flood risk maps to the 5 m contour level. This method ensures GIS layers that can be used as projections of sea-level change in the future. A Large section of the Antigonish County coastline was mapped using airborne LiDAR (Light Detection and Ranging) to construct 1 m grid cell elevation models with vertical accuracies better than 30 cm. The LiDAR was used in addition to water level records from the Pictou tide gauge to construct flood inundation maps for storm surge events and projected sea-level rise from climate change up to the 5 m contour. Return periods (e.g. 1 in 100 year event) and probability of occurrence for water levels were calculated using the tide gauge time series from Pictou. The GIS mapping provides the inundation limit of a given water level 2 and the associated risk is determined from the return period of that event. Under current sea-level rise conditions (32 cm/century) the 50-year return period water level is 1.95 m above mean sea level and the 100-year return period is 2.22 m. However, by incorporating a modest projection of future sea-level rise conditions, these increase to 2.1 m and 2.5 m respectively. The scientific literature describes many climate change scenarios resulting in a wide range of possible global sea-level rise predictions. We have chosen a median value of 0.5 m/century, as has been used in previous climate change flood risk projects (PEI and NB), and use this to project increased sea- levels. However, GIS flood layers have been constructed every 10 cm up to the 5 m contour, so any projected flood level using any rate can be extracted and mapped. In addition to global sea level, the relative sea level is affected by the vertical motion of the earth’s crust. In this region it is estimated to be sinking at 20 cm/century, thus resulting in 0.7 m of relative sea-level rise over the next century. In addition to flood risk mapping, this project also addresses erosion risk along the same coastline. Prior to Utting and Gallacher (2009), which is part of this initiative, there has not been any detailed examination of erosion along this shoreline. Shaw et al. 1998 report on erosion rates of 20-40 cm per year west of the study area in the River John area. In order to assess the past changes in the coastline a series of historical aerial photographs have been scanned, orthorectified (geocoded) and used in a GIS to interpret the shoreline position. Photos from 1954, 64, 71, 79, 90, 97, 07 were scanned, rectified and shorelines interpreted. From the different shorelines, rates of erosion or accretion were calculated at select locations. Several segments of this section of coastline are protected from development by the Department of Natural Resources. As a result there are no artificial protective structures (armour stone, riprap, groins, breakwaters, etc.). This is in contrast to the privately owned armoured shoreline north of Antigonish. The erosion of the shoreline is strongly controlled by the geological material that 3 forms the shoreline. As a result the headland promontories are often comprised of bedrock and forms cliffs several metres high. Glacial till in drumlins form the other dominant shoreline material and form slumped or steep embankments several metres high. The embayments are comprised of dune systems and lagoons. Dunns Beach was studied in detail because of the active slumping of the glacial till embankment. The shoreline is comprised of a series of actively eroding drumlins orientated perpendicular to the coast. The rates of erosion are between 20 and 60 cm per year or 1-2 feet per year. Cape Jack was also examined in detail because of the close proximity of a critical rail line that connects Cape Breton and the mainland. The rail bed is exposed in culvert locations where the thin 2-4 m high glacial till bank has eroded. The till bank is eroding at a rate of 20 cm per year (~ 1 foot), while the adjacent shoreline at a lower elevation has retreated into a pond at a rate of 70 cm per year (over 2 feet). In contrast to these eroding shorelines, the Pomquet dune systems is growing and accumulating land at a rate between 50 and 150 cm per year (2 – 5 feet). 4 Table of Contents Executive Summary ...................................................................................................................................... 2 1. Introduction .............................................................................................................................................. 8 2. Methods .................................................................................................................................................. 10 2.1 LiDAR .............................................................................................................................................. 10 2.1.1 LiDAR Processing ..................................................................................................................... 11 2.2 Flood Inundation Mapping ............................................................................................................... 15 2.3 Historic Arial photography analysis and interpretation .................................................................... 17 3 Results ...................................................................................................................................................... 19 3.1 LiDAR .............................................................................................................................................. 19 3.2 Water Modeler .................................................................................................................................. 21 3.3 Flood Risk Maps ............................................................................................................................... 27 3.4 Coastline change detection (erosion and accretion) .......................................................................... 30 4 Discussion ................................................................................................................................................ 33 5 Conclusions .............................................................................................................................................. 34 Acknowledgments ....................................................................................................................................... 35 References ................................................................................................................................................... 36 5 List of Figures Figure 1: Overview of study area with the LIDAR DEM overlaid along the Antigonish County coastline. The inset map shows the study area location Maritime Canada.................................................................. 10 Figure 2: Blocks used to process the LiDAR data. each block is 1040 m by 1040 m ................................. 12 Figure 3: Offsets between flight lines. Top image slight vertical offset between lines. Bottom image shows horizontal offset between flight lines ............................................................................................... 13 Figure 4: Flight lines after heading shift and Z adjustment applied ............................................................ 14 Figure 5: Observed and predicted water level for Dec 1993. Residual storm surge on right axis............... 16 Figure 6: Location of detailed coastline change detection analysis ............................................................ 19 Figure 7: Colour shaded relief of the LiDAR derived DEM (A) showing two areas in detail ; greyscale hill shade Antigonish Harbour (B) and greyscale hill shade Pomquet (C) .................................................. 20 Figure 8: RTK GPS points over the
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